In this paper, a new computer tomography (CT) lung nodule computer-aided detection (CAD) method is proposed for detecting both solid nodules and ground-glass opacity (GGO) …
Y Nikishkov, L Airoldi, A Makeev - Composites Science and Technology, 2013 - Elsevier
Manufacturing defects often lead to significant degradation of structural behavior in composite parts. Recent advances in X-ray Computed Micro-Tomography were shown to …
B Jähne, H Haussecker, P Geissler - 1999 - Citeseer
This handbook offers a fresh approach to computer vision. The whole vision process from image formation to measuring, recognition, or reacting is regarded as an integral process …
Image thresholding is a necessary task in some image processing applications. However, due to disturbing factors, eg non-uniform illumination, or inherent image vagueness, the …
S Mahajan, N Mittal, AK Pandit - Multimedia Tools and Applications, 2021 - Springer
The digital image segmentation is an open problem that is growing day by day and is attracting the attention of researchers from last few years. Image resolution and their speed …
I Aizenberg, N Aizenberg, J Hiltner, C Moraga… - Image and vision …, 2001 - Elsevier
The principal constituents of computational intelligence are fuzzy logic, neural networks and evolutionary algorithms, with emphasis in their mutual enhancement. The present paper …
Fuzzy sets for image processing and understanding - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full …
V Boskovitz, H Guterman - IEEE Transactions on fuzzy systems, 2002 - ieeexplore.ieee.org
An autoadaptive neuro-fuzzy segmentation and edge detection architecture is presented. The system consists of a multilayer perceptron (MLP)-like network that performs image …
In contrast to classical image analysis methods that employ" crisp" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image …